Project Grant 2543352
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 Faculty Early Career Development (CAREER) grant to Massachusetts Institute of Technology (MIT) on January 15, 2026, under the Engineering program (CFDA 47.041). The award funds research spanning the project period through September 30, 2030, and focuses on developing advanced simulation tools and control methods for robotics applications. The primary...
- Federal Grant Award Summary Massachusetts Institute of Technology received a $659,678 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective April 1, 2026 through March 31, 2031. This project grant supports research in trustworthy learning-enabled autonomy, with the primary deliverables comprising new mathematical theory, efficient algorithms, and...
- Federal Grant Award Summary The National Science Foundation's Engineering program (CFDA 47.041) awarded Harvard College a $550,000 CAREER grant on June 15, 2026, to develop integrated-photonics spatial light modulators for quantum control and advanced imaging applications. The primary deliverable is an innovative photonic platform that combines a solid-state gain laser array, high-speed electro-optic modulators, a two-dimensional beam-emitter array, and flat metasurface lenses to generate and...
- Federal Project Grant Award Summary Harvard College received a $600,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), awarded June 1, 2026, with completion targeted for May 31, 2030. The award supports research and development of pneumatically actuated, high-aspect-ratio elastomeric soft robots equipped with integrated sensing capabilities. The primary deliverables include the design...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a $650,000 CAREER (Faculty Early Career Development) grant to the University of Pennsylvania, effective July 1, 2025 through June 30, 2030, under the Engineering program (CFDA 47.041). This project grant funds research and development of constraint-aware algorithms and control methods that enable robots to safely and effectively collaborate with humans in dynamic,...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) awarded a CAREER (Faculty Early Career Development) Project Grant of $121,064 to the University of California, Berkeley, effective July 1, 2025 through March 31, 2027. This award supports fundamental research and educational initiatives focused on re-thinking the perception-action paradigm for agile autonomous...
- Federal Grant Award Summary Cornell University received a $670,000 CAREER (Faculty Early Career Development) award from the National Science Foundation's Engineering program (CFDA 47.041), effective April 1, 2026, through March 31, 2031. The project, "Robust Learning via Optimal Transport," will deliver mathematical tools and methodologies to develop more reliable artificial intelligence (AI) systems capable of maintaining performance in unpredictable, real-world conditions. The...
- Federal Grant Award Summary Northeastern University received a $515,000 CAREER Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective July 1, 2025 through June 30, 2030. The award funds fundamental research in decentralized manifold optimization (DMO) for multi-agent networks, addressing three core technical challenges: scalability, computational efficiency, and adaptation to dynamic...
- Federal Grant Award Summary Carnegie Mellon University received a $500,000 Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded July 1, 2025, with completion targeted for June 30, 2030. This CAREER award supports fundamental research on safety, human alignment, and interaction-awareness in autonomous control systems operating across multiple domains including transportation,...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Alabama a $599,981 Faculty Early Career Development (CAREER) Project Grant, effective August 1, 2026 through July 31, 2031, to develop advanced adaptive control methodologies for autonomous systems operating in dynamic and uncertain environments. The research delivers three primary technical products: (1) a control architecture integrating robust...
Harvard College received a $545,000 CAREER (Faculty Early Career Development) award from the National Science Foundation's Engineering program (CFDA 47.041), effective June 1, 2026 through May 31, 2031. This project develops fast and certifiable optimization algorithms and tools for autonomous systems perception and control. The primary deliverable is an open-source toolbox that enables practitioners to obtain high-performance solutions with mathematical certificates of global or near-global optimality, addressing critical safety and reliability challenges in autonomous systems tasks such as 3D mapping, robot motion planning, and sensor data interpretation. The project advances the moment and sums-of-squares relaxation framework to convert nonconvex polynomial optimization problems into semidefinite programs while improving scalability and integration with machine learning systems. Key outputs include new optimization theory and algorithms, validation on real robotic platforms and public benchmarks, and open educational resources that democratize trustworthy autonomy research. The award incorporates broader educational impacts through curriculum integration, hands-on mentoring, and outreach spanning high school through graduate levels, positioning the research at the intersection of optimization, robotics, and artificial intelligence.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $545.0k | 6/2/26 |